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Han Joon Byun

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#machine learning Preprint Oct 2026

Gauss-Newton Accuracy and Indefinite Hessians: Uniform Coexistence in Low-Cost Sets

We study the accuracy of Gauss-Newton curvature in ridge-regularized nonlinear least squares. Under local regularity and persistence of level-set curvature magnitude along an exact-fit section, we prove uniform coexistence of two curvature regimes. Global minimizers exist, and every global minimizer has relative Hessia...

Kihun Rhee, H. Byun · 0 citations
Book Open access Jul 2026

Evolutionary Feature Construction for Tabular Transformers via Gradient-Enhanced Attention Rollout

This work introduces GEAR, a gradient-enhanced attention rollout that preserves the full interaction matrix between input tokens and uses its input-input block as an interaction prior for a trained tabular Transformer to guide a validity-first genetic programming search.

H. Byun, Jieun Yook, Hanbin Koo et al. · 0 citations

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